TitleRetrieval of ionospheric O/N2 based on FUV imaging data
Publication TypeConference Paper
Year of Publication2009
AuthorsJing, W, Tang, Y, Tang, L-jun, Ni, G-qiang
Editorître, H, Sun, H, Lei, B, Feng, J
Conference NameSixth International Symposium on Multispectral Image Processing and Pattern RecognitionMIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Conference LocationYichang, China

Solar storms in the ionosphere have a great impact on human's life. It's of great significance to find an effective way for an accurate prediction of solar storms. In this paper, we present a method based on GUVI FUV day-glow imaging data to derive O/N2, an environmental parameter used to forecast Space Weather. In the retrieval, we selected two channels of the FUV wavelengths, OI135.6nm and LBH2. In accordance with the linear relationship between O/N2 and 135.6/LBH, we proposed 135.6/LBH to describe O/N2. With the method described in this paper, the data of a 4-day solar storm, October 1 to 4, 2002, have been processed. Subsequently, the obtained O/N2 maps were in good agreement with previous results. It demonstrated the retrieval process we put up is efficient.


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